CUET UG Geography Booster Test 2-Patterns of Spatial Distribution
π Answers are locked once submitted β results and explanations appear at the end.
QUESTION 1 OF 20
Assertion (A): The spatial distribution of population in India is highly uneven.
Reason (R): The top ten populated states, including U.P., Maharashtra, and Bihar, account for about 76% of the country's total population.
QUESTION 2 OF 20
Arrange the following in descending order of their spatial population concentration broadly observed in India:
1. Interior districts of central India
2. North Indian Plains
3. Himalayan region
QUESTION 3 OF 20
Match the states with their approximate population percentage shares to analyze populous vs. low population states:
| State | Percentage |
|---|---|
| 1. Jammu & Kashmir | a. 0.84% |
| 2. Arunachal Pradesh | b. 1.04% |
| 3. Uttarakhand | c. 0.11% |
| 4. Himachal Pradesh | d. 0.57% |
QUESTION 4 OF 20
Evaluate the demographic paradox of low population states:
I. States like Arunachal Pradesh and Uttarakhand have small population shares strictly because of small geographical areas.
II. These states possess fairly large geographical areas but maintain small population shares due to harsh physical constraints.
Which of the statements is/are correct?
QUESTION 5 OF 20
The moderate to high concentration of population in previously thinly populated areas of Peninsular States is a direct result of which specific physical/infrastructure determinant?
QUESTION 6 OF 20
Match the technological/physical intervention with its corresponding region that altered historical water availability or resource limitations:
| Factor | Associated Region |
|---|---|
| 1. Development of Irrigation | a. Jharkhand |
| 2. Exploitation of Mineral Resources | b. Rajasthan |
| 3. Plantation Agriculture | c. Kerala |
| 4. Development of Transport Networks | d. Northern Plains |
QUESTION 7 OF 20
QUESTION 8 OF 20
QUESTION 9 OF 20
If an analyst uses simple population density to study a highly agrarian state, why might this measure be analytically insufficient regarding the human-land relationship?
QUESTION 10 OF 20
Consider the following statements regarding density:
I. Simple density is expressed as persons per unit area.
II. Simple density is a flawless metric for understanding agricultural stress on land.
Which of the statements is/are correct?
QUESTION 11 OF 20
Based on historical density growth, arrange the following conceptual phases of national density pressure in chronological sequence:
1. Density reaches 382 persons/sq km
2. Density stands at 117 persons/sq km
3. A steady increase of over 200 persons per sq km occurs over 50 years
QUESTION 12 OF 20
The historical density growth reveals a steady increase as the population density escalated from 117 persons/sq km in 1951 to ________ persons/sq km in 2011.
QUESTION 13 OF 20
Assertion (A): Assam, Gujarat, and Haryana are classified as having moderate population densities.
Reason (R): They lack the extreme harshness of the Himalayan terrain but do not possess the historical hyper-concentration of the Ganga plains.
QUESTION 14 OF 20
Match the peninsular/northern states with their exact population density values (Census 2011) to highlight regional variations:
| State | Density (persons per sq. km) |
|---|---|
| 1. Kerala | a. 555 |
| 2. Tamil Nadu | b. 1102 |
| 3. Bihar | c. 859 |
| 4. Uttar Pradesh | d. 828 |
QUESTION 15 OF 20
The density of 11,297 persons per sq km in the NCT of Delhi conceptually imply about its carrying capacity and infrastructure?
QUESTION 16 OF 20
While analyzing UT density levels, Andaman and Nicobar Islands act as an exception, proving that not all UTs have ________ densities of population.
QUESTION 17 OF 20
Evaluate the advanced density measures:
I. Physiological density divides total population by net cultivated area.
II. Agricultural density provides a deeper analytical view of the human-land ratio for agricultural economies than simple density.
Which of the statements is/are true?
QUESTION 18 OF 20
To calculate Agricultural Density, in what sequence must the data be processed?
1. Divide the agricultural population by the cultivable area
2. Identify the net cultivable area
3. Determine the total agricultural population
QUESTION 19 OF 20
For calculating advanced density, the agricultural population context strictly includes cultivators, agricultural labourers, and their ________.
QUESTION 20 OF 20
If an geographer wishes to measure the exact pressure of the farming community on the land capable of being farmed, which specific measure must they use?
Test Complete!
Answer Review
1 Assertion (A): The spatial distribution of population in India is highly uneven.
Reason (R): The top ten populated states, including U.P., Maharashtra, and Bihar, account for about 76% of the country's total population.
The spatial arrangement of human settlement across India shows stark demographic imbalances. A tiny fraction of India's administrative states hosts more than three-fourths of its population. This high statistical grouping of people inside ten specific territories serves as direct proof of why the distribution is highly uneven.
The spatial demography of India is defined by deep geographic inequalities. Assertion (A) is correct because population distribution is remarkably uneven; highly fertile alluvial plains and busy industrial belts support massive crowds, while deserts and high mountains remain mostly unpopulated. Reason (R) is also correct because the top ten most populous states (such as Uttar Pradesh, Maharashtra, Bihar, and West Bengal) contain roughly 76% of the nation's total population. Furthermore, Reason (R) provides the correct explanation for Assertion (A). The fact that nearly three-quarters of the country's population is packed into just ten states mathematically explains and proves the uneven pattern across India's total area. Therefore, Option A is the correct answer.
- Option B is incorrect because it claims that R does not explain A, missing the direct mathematical link between state population numbers and uneven distribution.
- Option C is incorrect because it labels R as false, which contradicts official 2011 Census figures showing that ten states hold 76% of the population.
- Option D is incorrect because it labels the assertion as false, ignoring the well-documented spatial inequalities in India's population distribution.
Used: Logical Linkage Analysis
Application: Read the Assertion, insert the word "because," and check if the Reason provides valid evidence.
Final Logic: Population distribution is highly uneven because ten states contain 76% of the people. The statement makes perfect sense, confirming Option A.
India's population distribution is highly uneven because just ten states hold 76% of the nation's crowd.
2 Arrange the following in descending order of their spatial population concentration broadly observed in India:
1. Interior districts of central India
2. North Indian Plains
3. Himalayan region
Descending order requires sorting these regions from the highest population concentration to the lowest. The North Indian Plains feature flat terrain and perennial water sources, giving them the highest population concentration. Interior central India has moderate concentrations across its hilly, mineral-rich plateau landscapes. The steep terrain and cold climate of the high Himalayan region result in the lowest population concentration.
Physical geography sets the baseline for human settlement sizes across India. The North Indian Plains (2) feature deep alluvial soil and flat terrain, supporting intensive farming and a high population concentration. The interior districts of central India (1) feature rugged plateaus, hills, and seasonal rain-fed water systems, supporting moderate populations around industrial and mining pockets. The Himalayan region (3) features steep slopes, cold climates, and poor transport networks, keeping its population concentration low. Sorting these regions from highest concentration to lowest gives the sequence 2, 1, 3, making Option A correct.
- Option B is incorrect because it places the low-density Himalayan region ahead of the moderately populated central Indian plateau.
- Option C is incorrect because it lists the central Indian plateau as the most crowded region, ignoring the much larger population in the northern plains.
- Option D is incorrect because it completely reverses the sequence, sorting the regions in ascending order from lowest concentration to highest.
Used: Data Ordering / Elimination
Application: Evaluate the geographic features of each region to rank their population capacity: Plains (Highest) > Plateaus (Moderate) > High Mountains (Lowest).
Final Logic: This ranking creates the sequence 2, 1, 3, matching Option A.
Descending concentration runs from flat plains down to rugged peaks: Plains (2) β Plateaus (1) β Peaks (3).
3 Match the states with their approximate population percentage shares to analyze populous vs. low population states:
| State | Percentage |
|---|---|
| 1. Jammu & Kashmir | a. 0.84% |
| 2. Arunachal Pradesh | b. 1.04% |
| 3. Uttarakhand | c. 0.11% |
| 4. Himachal Pradesh | d. 0.57% |
Small Himalayan states contribute only a small percentage to India's total population. Jammu & Kashmir accounts for approximately 1.04% of India's population. Arunachal Pradesh has the smallest share among these states at 0.11%. Uttarakhand contributes about 0.84%. Himachal Pradesh contributes approximately 0.57%.
This question is based on the 2011 Census population distribution among Himalayan states. The correct matches are: Jammu & Kashmir β 1.04% (b) Arunachal Pradesh β 0.11% (c) Uttarakhand β 0.84% (a) Himachal Pradesh β 0.57% (d) Thus, the correct sequence is: 1-b, 2-c, 3-a, 4-d, which corresponds to Option A.
- Option B is incorrect because it swaps the population shares of Jammu & Kashmir and Uttarakhand.
- Option C is incorrect because it assigns 0.84% to Arunachal Pradesh and 0.57% to Uttarakhand, both of which are incorrect.
- Option D is incorrect because it incorrectly assigns 0.57% to Jammu & Kashmir and 1.04% to Himachal Pradesh.
Used: Direct Fact Validation
Application: Match each state with its official 2011 Census population share.
Final Logic: Linking Jammu & Kashmir β 1.04%, Arunachal Pradesh β 0.11%, Uttarakhand β 0.84%, and Himachal Pradesh β 0.57% identifies Option A.
Arunachal (0.11%) β Himachal (0.57%) β Uttarakhand (0.84%) β Jammu & Kashmir (1.04%).
4 Evaluate the demographic paradox of low population states:
I. States like Arunachal Pradesh and Uttarakhand have small population shares strictly because of small geographical areas.
II. These states possess fairly large geographical areas but maintain small population shares due to harsh physical constraints.
Which of the statements is/are correct?
Large geographic size does not automatically guarantee a large population if the environment is difficult to live in. Statement I is false because states like Arunachal Pradesh are geographically large but have low population numbers. Statement II is correct because rugged mountains and cold climates are the constraints that limit human settlement.
The geographic profile of India's northern and northeastern mountain rims highlights a unique demographic trend. Statement I is incorrect because states like Arunachal Pradesh and Uttarakhand are not small in land area; instead, they cover quite large geographical territories. Statement II is correct because, despite their large size, these states have low population shares (0.11% and 0.84% respectively) due to harsh physical constraints. Steep slopes, rugged mountain terrain, dense forests, and cold climates limit the land available for agriculture, transport networks, and urban cities. Thus, only Statement II is correct, confirming Option B.
- Option A is incorrect because Statement I is false; it misidentifies land size as the cause, ignoring the large physical areas of these mountain states.
- Option C is incorrect because Statement I contains incorrect information, meaning both statements cannot be true.
- Option D is incorrect because it rejects Statement II, which accurately identifies environmental constraints as the driver behind these low population numbers.
Used: Extreme Word Filter / Elimination
Application: Flag the word "strictly" in Statement I. Look at land area maps to check if mountain states are small, which disproves Statement I.
Final Logic: Disproving Statement I and confirming that environmental constraints limit population numbers points directly to Option B.
Mountain states have plenty of physical space (II), but their rugged terrain limits where people can actually live (I).
5 The moderate to high concentration of population in previously thinly populated areas of Peninsular States is a direct result of which specific physical/infrastructure determinant?
The interior Peninsular plateaus historically had smaller populations due to their rocky hills and lack of large river plains. Building modern roads and rail lines opened up access to these isolated interior plateaus. This transport expansion connected regions, supported local industries, and caused population densities to rise.
The interior sections of the Peninsular states feature rugged, rocky plateau landscapes that historically limited large agricultural settlements. However, population density rose over time due to a key infrastructure change: the development of the transport network. Building extensive road and railway networks across the rocky terrain opened up access to previously isolated interior areas. This connectivity allowed for the extraction of mineral resources, supported new industrial zones, and linked towns together, driving population growth and confirming Option C.
- Option A is incorrect because canal irrigation projects primarily transformed the desert landscapes of northwestern states like Rajasthan, rather than driving wide-scale growth across the rocky Peninsular plateau.
- Option B is incorrect because mineral deposits are localized assets that create isolated mining towns, whereas transport lines drive broad population growth across multiple states.
- Option D is incorrect because the Peninsular states sit in tropical southern and central India, completely separate from the cold alpine climate of the northern Himalayas.
Used: Infrastructure and Transport Analysis
Application: Identify the specific infrastructure system that overcame rocky terrain to connect interior regions and drive broad population growth.
Final Logic: Because roads and railways are the systems that open up isolated interior plateaus for development, Option C is the correct answer.
Building transport networks opened up the rocky Peninsular plateaus, allowing towns to grow and population density to rise.
6 Match the technological/physical intervention with its corresponding region that altered historical water availability or resource limitations:
| Factor | Associated Region |
|---|---|
| 1. Development of Irrigation | a. Jharkhand |
| 2. Exploitation of Mineral Resources | b. Rajasthan |
| 3. Plantation Agriculture | c. Kerala |
| 4. Development of Transport Networks | d. Northern Plains |
Irrigation transformed the dry deserts of Rajasthan into productive agricultural regions. Mineral resource exploitation led to industrial development in Jharkhand. Plantation agriculture (tea, coffee, rubber, spices) supported dense settlements in Kerala. Transport networks improved accessibility and economic growth across the Northern Plains.
Human interventions have significantly influenced the distribution of population in different regions of India. Development of Irrigation β Rajasthan (1-b): Canal irrigation, especially the Indira Gandhi Canal, brought water to the Thar Desert, encouraging agriculture and settlement. Exploitation of Mineral Resources β Jharkhand (2-a): Rich deposits of coal, iron ore, and other minerals promoted mining, industries, and urbanization. Plantation Agriculture β Kerala (3-c): Favorable climate supported plantations of tea, coffee, rubber, and spices, providing employment and attracting population. Development of Transport Networks β Northern Plains (4-d): Extensive road and railway connectivity facilitated trade, agriculture, industries, and dense population concentration. Thus, the correct matching is: 1-b, 2-a, 3-c, 4-d, which corresponds to Option A.
- Option B is incorrect because it reverses the first two matches and incorrectly associates plantation agriculture with the Northern Plains.
- Option C is incorrect because it wrongly links mineral exploitation with the Northern Plains and plantation agriculture with Jharkhand.
- Option D is incorrect because it assigns irrigation to the Northern Plains and transport development to Rajasthan, which do not represent the intended interventions.
Used: Functional Matching
Application: Match each intervention with the region where it has had the most significant geographical impact.
Final Logic:
- Irrigation β Rajasthan
- Mineral Resources β Jharkhand
- Plantation Agriculture β Kerala
- Transport Networks β Northern Plains
- This gives 1-b, 2-a, 3-c, 4-d, i.e., Option A.
Mnemonic: "WaterβMineβPlantβTransport" β RajasthanβJharkhandβKeralaβNorthern Plains.
7
The provided text explains why older farming plains maintain high populations despite environmental issues. The final sentence states that density remains high "because of an early history of human settlement and development of transport network." This explicit reason matches the text in Option C.
This question checks your direct comprehension of the provided passage text. The final sentence states that even though local land and water resources show signs of degradation, the population concentration remains high "because of an early history of human settlement and development of transport network." This shows that historical momentum, long-standing towns, and established infrastructure keep these areas crowded today, directly supporting Option C.
- Option A is incorrect because the passage does not mention mineral discoveries as a factor supporting population density in river plains.
- Option B is incorrect because while industries drive urban growth, the text highlights history and transport lines as the factors sustaining these farming plains.
- Option D is incorrect because it describes a migration pattern out of cities, which is not mentioned anywhere in the text.
Used: Contextual/Tonal Matching
Application: Locate the phrase "...concentration of population remains high because of..." in the final sentence.
Final Logic: The text completes this sentence with "an early history of human settlement and development of transport network," confirming Option C.
According to the text, these plains stay crowded due to their early settlement history and transport lines.
8
Industrial development and urbanization in major metropolitan hubs act as strong economic draws. These expanding urban economies attract individuals from rural villages looking for jobs and better wages. This classic demographic movement is classified as rural-urban migration.
This question evaluates your understanding of the demographic movements driven by the socio-economic factors listed in the text. Industrialization and urbanization create jobs, higher wages, and modern services in major metropolitan centers like Delhi and Mumbai. These opportunities act as strong economic pulls for the surplus labor force in rural farming villages. This economic imbalance drives a steady stream of rural-urban migrants into major cities, confirming Option B.
- Option A is incorrect because the growth of cities like Delhi and Mumbai is driven by internal migration from surrounding states rather than international arrivals.
- Option C is incorrect because urban-to-urban movement describes people moving between cities, which is not the main migration stream driving rapid metropolitan growth.
- Option D is incorrect because seasonal migration involves temporary labor during specific harvest periods, whereas industrial jobs attract long-term urban residents.
Used: Conceptual Realignment
Application: Connect the socioeconomic forces of industrialization and urbanization to their primary migration stream.
Final Logic: Because cities grow by drawing in surplus workers from rural farming areas, rural-urban migration is the correct term, supporting Option B.
Industrial growth and urbanization expand big cities by pulling in workers from rural villages.
9 If an analyst uses simple population density to study a highly agrarian state, why might this measure be analytically insufficient regarding the human-land relationship?
Simple density balances total population against total land area, treating all landscapes as uniform space. It mixes unusable land (like barren rocks or marshes) with productive fields under cultivation. Because it does not isolate the actual cultivable land that supports farms, it functions as an incomplete measure.
Simple population density is calculated by dividing total population numbers by total land area. While easy to calculate, it treats all land equally, mixing unworkable zones (like rock clips, swamps, or forests) with fertile farmland. For a highly agrarian state where the economy relies directly on soil productivity, simple density provides an incomplete picture because it does not isolate the actual cultivable land area supporting the population. This makes it a crude and analytically incomplete metric for assessing true population pressure on resources, confirming Option B.
- Option A is incorrect because simple density includes all land categories within a boundary rather than focusing specifically on industrial land.
- Option C is incorrect because simple density blends both urban and rural populations into a single headcount, rather than measuring rural residents alone.
- Option D is incorrect because simple density relies directly on state boundaries to define the population and land area counts used in the calculation.
Used: Conceptual Realignment
Application: Evaluate the limitations of simple density when applied to an agricultural economy.
Final Logic: Because simple density ignores land quality and farmable space, it functions only as a crude overview, supporting Option B.
Simple density is an incomplete overview for farming states because it counts rocks and deserts alongside productive farmland.
10 Consider the following statements regarding density:
I. Simple density is expressed as persons per unit area.
II. Simple density is a flawless metric for understanding agricultural stress on land.
Which of the statements is/are correct?
Simple density measures the mathematical ratio between a population and the land area it occupies today. This means Statement I is completely correct, as density is expressed as persons per unit area. Statement II is false because simple density mixes unusable land with productive fields, making it a crude metric rather than a flawless one.
Geographers classify simple population density as a basic tool with clear limitations. Statement I is correct because simple density is expressed as the number of persons per unit area of land. Statement II is incorrect because simple density is far from a flawless metric for understanding agricultural stress. It divides total population by total land area, ignoring whether the land consists of fertile fields, barren deserts, or steep mountain slopes. To measure agricultural stress accurately, geographers use advanced metrics like physiological or agricultural density. Thus, only Statement I is correct, making Option A the right choice.
- Option B is incorrect because it validates Statement II, ignoring the clear resource limitations that make simple density a crude measure.
- Option C is incorrect because Statement II contains incorrect information, meaning both statements cannot be true.
- Option D is incorrect because it rejects Statement I, which accurately defines the standard measurement unit for population density.
Used: Extreme Word Filter / Elimination
Application: Flag the absolute word "flawless" in Statement II. No basic demographic metric is perfect, and simple density is explicitly labeled a "crude measure," disproving Statement II.
Final Logic: Disproving Statement II leaves Statement I as the only correct choice, isolating Option A.
Density measures people per unit area (I), but it is a crude tool that is far from flawless for tracking resource stress (II).
11 Based on historical density growth, arrange the following conceptual phases of national density pressure in chronological sequence:
1. Density reaches 382 persons/sq km
2. Density stands at 117 persons/sq km
3. A steady increase of over 200 persons per sq km occurs over 50 years
To arrange these phases chronologically, they must follow India's demographic history from past to present. The timeline starts with the historical baseline milestone of 117 persons per square kilometer in 1951 (2). Next comes the long period of steady population growth that added over 200 people per square kilometer (3). The timeline concludes with the modern 2011 Census figure of 382 persons per square kilometer (1).
This question tests your understanding of India's demographic timeline since independence. The process begins at the historical baseline recorded in the 1951 Census, when national density stood at 117 persons per square kilometer (2). Over the next several decades, steady population growth added more than 200 individuals per square kilometer to the landscape (3). This long-term increase led directly to the final phase, where the 2011 Census recorded a modern density of 382 persons per square kilometer (1). Arranging these phases chronologically creates the sequence 2, 3, 1, confirming Option A.
- Option B is incorrect because it places the modern 2011 milestone (1) at the very start of the historical timeline.
- Option C is incorrect because it places the long growth period (3) before the historical 1951 baseline density was even established.
- Option D is incorrect because it puts the final 2011 figure (1) before the decades of population growth (3) that caused it.
Used: Chronological Alignment
Application: Link each phase to its historical timeline: baseline (1951) β growth period (1951-2011) β final total (2011).
Final Logic: This chronological flow creates the sequence 2, 3, 1, confirming Option A is the correct answer.
Start with the past baseline (2), track the decades of population growth (3), and finish with the modern total (1).
12 The historical density growth reveals a steady increase as the population density escalated from 117 persons/sq km in 1951 to ________ persons/sq km in 2011.
India's population density has climbed steadily over the last century due to population growth. The 1951 Census recorded an average national density of 117 persons per square kilometer. By the 2011 Census, this national average had risen to 382 persons per square kilometer.
This question requires direct recall of official data from the 2011 Census of India. The records show that India's national population density reached 382 persons per square kilometer. This figure highlights the growing human pressure on the nation's land resources over time, rising from 117 persons per square kilometer in 1951. This makes Option B the correct choice.
- Option A is incorrect because 200 is a rounded placeholder number that does not match any official census results.
- Option C is incorrect because 828 persons per square kilometer is the specific density of Uttar Pradesh, not the national average.
- Option D is incorrect because 1,029 persons per square kilometer is the density of West Bengal, which is far higher than the national average.
Used: Direct Fact Retrieval
Application: Identify the national population density value from the 2011 Census table.
Final Logic: Because official 2011 Census documents state the national density is 382 persons per square kilometer, Option B is the correct answer.
In 2011, India's national density grew to 3-8-2 persons per square kilometer.
13 Assertion (A): Assam, Gujarat, and Haryana are classified as having moderate population densities.
Reason (R): They lack the extreme harshness of the Himalayan terrain but do not possess the historical hyper-concentration of the Ganga plains.
Regional population density is driven by a balance between physical terrain quality and economic resources. Assertion (A) is correct because states like Assam, Gujarat, and Haryana maintain moderate density levels. Reason (R) is correct because these states feature geographical conditions that sit between the two extremes found in India. This intermediate geography explains why they develop moderate population levels, making R the correct explanation for A.
Regional population densities reflect local environmental and economic conditions. Assertion (A) is correct because states like Assam, Gujarat, and Haryana are officially classified as having moderate population densities. Reason (R) is also correct and provides the direct explanation for Assertion (A). These states do not have the steep slopes and cold climates of the high Himalayas, which keep populations low. At the same time, they lack the deep alluvial valleys and long history of intensive farming that created massive population clusters in the Ganga plains. Because their physical geography and resources sit between these two extremes, they naturally develop moderate population densities, making Option A correct.
- Option B is incorrect because it claims that R does not explain A, missing the geographic reason why intermediate landscapes develop moderate population densities.
- Option C is incorrect because it labels the reasoning as false, ignoring the real geographic features of these states.
- Option D is incorrect because it labels the assertion as false, which contradicts official census classifications that place these states in the moderate density bracket.
Used: Logical Linkage Analysis
Application: Read the Assertion, insert the word "because," and check if the Reason provides a valid geographic explanation.
Final Logic: These states have moderate densities because their intermediate geography sits between mountains and hyper-dense plains. The statement is logically sound, confirming Option A.
Moderate states sit in the middle because they lack the steep slopes of mountain peaks and the massive crowds of river plains.
14 Match the peninsular/northern states with their exact population density values (Census 2011) to highlight regional variations:
| State | Density (persons per sq. km) |
|---|---|
| 1. Kerala | a. 555 |
| 2. Tamil Nadu | b. 1102 |
| 3. Bihar | c. 859 |
| 4. Uttar Pradesh | d. 828 |
Population density varies widely across Indian states due to differences in physical geography, agriculture, industrialization, and urbanization. Kerala has a high population density of 859 persons per sq. km (1-c). Tamil Nadu has a density of 555 persons per sq. km (2-a). Bihar records the highest state population density of 1,102 persons per sq. km (3-b). Uttar Pradesh has a density of 828 persons per sq. km (4-d).
According to the 2011 Census, the population densities of these states are: Kerala β 859 persons/sq. km (1-c), reflecting its highly urbanized coastal settlements. Tamil Nadu β 555 persons/sq. km (2-a), owing to its industrial growth and extensive urban network. Bihar β 1,102 persons/sq. km (3-b), the highest among Indian states due to fertile alluvial plains and intensive agriculture. Uttar Pradesh β 828 persons/sq. km (4-d), supported by the fertile Ganga Plain and a large rural population. Thus, the correct matching is: 1-c, 2-a, 3-b, 4-d, which corresponds to Option A.
- Option B is incorrect because it swaps the density values of Kerala and Tamil Nadu.
- Option C is incorrect because it assigns 828 to Tamil Nadu and 555 to Bihar, both of which are incorrect.
- Option D is incorrect because it gives 1,102 to Kerala and 859 to Uttar Pradesh, which contradicts the official Census figures.
Used: Direct Fact Validation
Application: Match each state with its official 2011 Census population density.
Final Logic:
- Kerala β 859
- Tamil Nadu β 555
- Bihar β 1,102
- Uttar Pradesh β 828
- This produces 1-c, 2-a, 3-b, 4-d, making Option A the correct answer.
(Bihar β Kerala β Uttar Pradesh β Tamil Nadu)
15 The density of 11,297 persons per sq km in the NCT of Delhi conceptually imply about its carrying capacity and infrastructure?
Paved metropolitan areas cannot produce enough food or resources within their own borders to sustain millions of residents. This high density indicates an urban economy built around service industries and corporate commerce. This urban model requires trading with outside regions for food while focusing locally on secondary and tertiary jobs.
An extreme population density of 11,297 persons per square kilometer reveals a highly urbanized environment. A paved metropolitan city like the National Capital Territory of Delhi does not have the open land needed for large-scale farming. Instead, its massive population is supported by a developed urban economy centered on manufacturing (secondary sector) and service industries like corporate commerce, finance, and administration (tertiary sector). This economic model allows the city to trade for food and resources from other states, confirming Option B.
- Option A is incorrect because Delhi is a paved urban area that cannot rely on local agriculture to feed its millions of residents.
- Option C is incorrect because Delhi is a compact urban enclave, whereas other territories (like the Andaman and Nicobar Islands) cover larger geographic areas.
- Option D is incorrect because Delhi grows rapidly due to a steady influx of incoming migrants, rather than losing population to out-migration.
Used: Conceptual Realignment
Application: Connect an extreme urban density value (over 11,000 people/sq km) to its structural economic model.
Final Logic: This level of crowding points directly to an advanced urban service economy that relies on manufacturing and services, supporting Option B.
Packed cities use offices, factories, and service jobs to sustain their massive population densities.
16 While analyzing UT density levels, Andaman and Nicobar Islands act as an exception, proving that not all UTs have ________ densities of population.
Most of India's Union Territories are highly urbanized administrative enclaves with high population densities. Enclaves like Delhi, Chandigarh, and Lakshadweep feature large populations packed into small areas. The Andaman and Nicobar Islands feature rugged, forested terrain that limits settlement sizes. This results in a low density of 46 persons per square kilometer, breaking the high-density trend seen in other UTs.
Most of India's Union Territories are small, highly urban enclaves that record very high population densities due to limited land area and high urbanization rates. However, the Andaman and Nicobar Islands are a clear exception to this trend. This island chain features rugged terrain covered in dense tropical rainforests, keeping its population density low at just 46 persons per square kilometer. This outlier proves that not all Union Territories have very high population densities, confirming Option B.
- Option A is incorrect because the high densities found in territories like Delhi or Chandigarh disprove the idea that all UTs have low densities.
- Option C is incorrect because the extreme gap between Delhi (11,297) and the Andaman islands (46) shows that UT densities are polarized rather than uniform or moderate.
- Option D is incorrect because most Union Territories are experiencing population growth driven by migration and urban expansion, rather than facing population decline.
Used: Elimination via Exceptions
Application: Identify the general trend across most UTs (high density) that the Andaman islands break.
Final Logic: Because the Andaman islands maintain a low density, they stand as the exception proving that not all UTs are highly dense, supporting Option B.
- 5. Memory Territory
- Most Union Territories are urban and packed, but the forested Andaman and Nicobar Islands are a low-density exception.
17 Evaluate the advanced density measures:
I. Physiological density divides total population by net cultivated area.
II. Agricultural density provides a deeper analytical view of the human-land ratio for agricultural economies than simple density.
Which of the statements is/are true?
Statement I correctly states the exact mathematical formula for physiological density. This formula focuses on food-supply pressure by balancing the entire consumer population against cultivated fields. Statement II is also correct because advanced density measures isolate the actual productive land supporting an agrarian economy.
Advanced density metrics provide detailed insights that simple density values miss. Statement I is correct because physiological density is calculated by dividing the total population by the net cultivated area, showing the direct human pressure on actively farmed plots. Statement II is also correct because agricultural density offers a deeper analytical view of an agrarian economy. By isolating the actual farming population and matching them with cultivable land, it reveals the true demographic pressure on agricultural resources without being distorted by unusable mountains or deserts. Because both statements are true, Option C is correct.
- Option A is incorrect because it overlooks the accuracy of Statement II, which correctly describes why geographers use agricultural density to study farming economies.
- Option B is incorrect because it labels Statement I as false, ignoring the official mathematical definition of physiological density.
- Option D is incorrect because it rejects both statements, despite both being accurate principles in population geography.
Used: Direct Fact Validation
Application: Verify the math formula in Statement I and evaluate the analytical value described in Statement II.
Final Logic: Since the formula is accurate and advanced metrics provide better resource insights than simple density, both statements are true, making Option C the right choice.
Physiological density matches the total population with cultivated land (I), giving a clearer view of resource pressure than simple density (II).
18 To calculate Agricultural Density, in what sequence must the data be processed?
1. Divide the agricultural population by the cultivable area
2. Identify the net cultivable area
3. Determine the total agricultural population
To calculate agricultural density, data must be processed in a logical sequence. First, the required input values are identified, beginning with the total agricultural population. Second, the net cultivable area is determined. Finally, the density is calculated by dividing agricultural population by cultivable area. Therefore, the correct sequence is 3, 2, 1.
Agricultural density is computed using a structured workflow. The first step is to determine the total agricultural population, which includes cultivators, agricultural laborers, and dependent family members (Step 3). This provides the numerator for the calculation. The second step is to identify the net cultivable area, which serves as the denominator (Step 2). The final step is to perform the calculation by dividing the agricultural population by the cultivable area (Step 1). Thus, the correct sequence is 3 β 2 β 1, which corresponds to Option C.
- Option A (1, 2, 3) is incorrect because it begins with division before collecting the required population data.
- Option B (2, 1, 3) is incorrect because it identifies land before determining the required population and does not maintain the correct logical order.
- Option D (Sequence does not matter) is incorrect because statistical calculations require a defined workflow; inputs must be collected before computation.
Used: Logical Process Mapping
Application: Break the formula into stagesβfirst gather population data, then land data, and finally perform division.
Final Logic: Since calculation must come after both inputs are prepared, the correct sequence is 3 β 2 β 1, confirming Option C.
People first β Land second β Divide last
19 For calculating advanced density, the agricultural population context strictly includes cultivators, agricultural labourers, and their ________.
The agricultural population category includes both active field workers and the dependents who rely on them. Cultivators and hired laborers form the core working group in this demographic category. Their family members are included because their livelihoods depend directly on farming income.
When calculating advanced demographic metrics like agricultural density, defining the population context clearly is necessary. According to demographic standards, the "agricultural population" includes more than just active field workers. It comprises cultivators (farmers who own or lease land) and agricultural laborers (hired workers), along with their family members. Family dependents are included because their basic survival and livelihoods depend directly on the food and income produced by farming land. This confirms Option B as the correct answer.
- Option A is incorrect because livestock counts measure farm animals, which belong in livestock inventories rather than human population calculations.
- Option C is incorrect because landlords are often wealthy property owners whose income is based on rent rather than direct manual cultivation.
- Option D is incorrect because migrant workers form a temporary, seasonal labor pool that is counted in their home districts rather than being grouped with local farming families.
Used: Definition Matching
Application: Apply the formal demographic definition of agricultural population used in census calculations.
Final Logic: Because this category groups active farming workers with their dependent family members, Option B is the correct term.
The agricultural population category includes cultivators, laborers, and their dependent family members.
20 If an geographer wishes to measure the exact pressure of the farming community on the land capable of being farmed, which specific measure must they use?
To isolate the specific impact of the farming community, you must exclude urban populations from the calculation. The formula balances the total agricultural population against the net cultivable land area. This specific metric isolates and measures the pressure of the farming community on land capable of being farmed.
Different density metrics reveal different insights about resource use. To evaluate the specific pressure felt by the farming community on land capable of being farmed, a geographer must use agricultural density. The formula for agricultural density divides the total agricultural population (cultivators, laborers, and family dependents) by the net cultivable area. By excluding urban populations and non-farmable land, this metric isolates the relationship between the farming community and the land resources that support them, confirming Option C.
- Option A is incorrect because simple population density uses the total population and total land area, blending urban residents with rural landscapes.
- Option B is incorrect because total geographical density is simply another term for basic density, which fails to isolate the farming population or cultivable fields.
- Option D is incorrect because physiological density uses the total population as its numerator, measuring the overall food-supply pressure of all consumers rather than just the farming community.
Used: Substitution via Formulas
Application: Match the specific targets mentioned in the prompt ("farming community" and "land capable of being farmed") with the correct density formula components.
Final Logic: These components match the agricultural population and cultivable area used in the agricultural density formula, confirming Option C.
To measure the pressure of the farming community on farmable land, use agricultural density.
